Skip to content
No description, website, or topics provided.
Jupyter Notebook Other
Branch: master
Clone or download

Latest commit

Fetching latest commit…
Cannot retrieve the latest commit at this time.


Type Name Latest commit message Commit time
Failed to load latest commit information.

Data Visualization: Principles and Applications in R, Tableau, and Python - 8:00 a.m. – 12:00 p.m. Wed. May 29th

Instructor(s): Silas Bergen, Winona State University; Todd Iverson, Winona State University


In this course, participants will be introduced to principles of data visualization from foundational literature and implement these principles with hands-on activities using Tableau Public, Python (Altair), and R (ggplot). The course instructors have experience teaching these concepts and content as part of undergraduate statistics and data science curricula and will use example class projects from these courses.

The course will be divided into two modules. Module 1 will cover the principles of data visualization theory, summarizing and illustrating foundational data visualization literature. Module 2 will demonstrate how these principles are applied in various software platforms.

Hands-on data visualization tasks will be employed throughout. Participants must bring their own laptops.

Launch Binder

Launch in Jupyter Notebook: Binder

We would love your feedback!

You can’t perform that action at this time.